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Scientific Computing Jobs in Alberta (NOW HIRING)

You will work closely with a team of data scientists and data engineers to deploy solutions and ... Proficiency in Google cloud platform and distributed computing frameworks, Oracle, SQL and working ...

... computing and machine learning workloads at Exascale? AMD is searching for talented and motivated mathematicians, scientists, and engineers to develop GPU libraries as part the open-source AMD ROCm ...

Staff Data Scientist

Calgary, AB · Hybrid

CA$192K - CA$230K/yr

Proficiency in distributed computing (e.g., Spark, Ray) and modern data platforms (Snowflake ... Master's or PhD in Computer Science, Physics, Statistics, Mathematics, or a related quantitative ...

The ideal candidate must possess a strong background in data architecture, cloud computing, and a ... Collaborate with cross-functional teams including data scientists, engineers, business analysts ...

MS or PhD in Computer Science, Engineering or related field * 10+ years of experience developing ... Experience with MLIR and spatial computing architectures * Driven and self-directed * Proficiency ...

MS or PhD in Computer Science, Engineering or related field * 10+ years of experience developing ... Experience with MLIR and spatial computing architectures * Driven and self-directed * Proficiency ...

MS or PhD in Computer Science, Engineering or related field * 10+ years of experience developing ... Experience with MLIR and spatial computing architectures * Driven and self-directed * Proficiency ...

MS or PhD in Computer Science, Engineering or related field * 10+ years of experience developing ... Experience with MLIR and spatial computing architectures * Driven and self-directed * Proficiency ...

Degree or diploma in Information Systems, Information Technology or Computer Science * 5+ Years of ... Exchange, Office365, AV, Cloud computing, Etc.) * Strong knowledge and experience with ...

... generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems ... Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or ...

... of science for a more prosperous and sustainable future. With our ingenuity, drive and deep ... computing (HPC) machines, utilizing Viridien's G2 module, and facilitates the running of high ...

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Scientific Computing information

See Alberta salary details

$31.5K

$117.6K

$251.5K

How much do scientific computing jobs pay per year?

As of Jun 16, 2026, the average yearly pay for scientific computing in Alberta is $117,582.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $127,000.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of someone working in Scientific Computing?

Professionals in Scientific Computing typically spend their days developing and optimizing computational models, writing code to analyze large datasets, and running simulations on high-performance computing systems. They often collaborate closely with scientists, researchers, or engineers to interpret results and improve methodologies. Depending on the industry, they may also be responsible for documenting workflows, troubleshooting complex issues, and staying current with technological advances in their field. Daily work often involves problem-solving, technical meetings, and the continuous improvement of algorithms and computational processes.

What are the key skills and qualifications needed to thrive in the Scientific Computing position, and why are they important?

To thrive in Scientific Computing, you need a strong background in mathematics, computer science, and scientific principles, often supported by a relevant degree such as physics, engineering, or computational science. Proficiency with programming languages like Python, C++, or MATLAB, experience with high-performance computing (HPC) systems, and familiarity with scientific software and libraries are typically essential. Excellent problem-solving abilities, teamwork, and clear communication skills are important soft skills for this role. These skills enable professionals to develop efficient computational solutions, collaborate effectively across multidisciplinary teams, and drive progress in research and innovation.

What is a Scientific Computing job?

A Scientific Computing job involves using advanced computational methods, algorithms, and mathematical modeling to solve complex scientific and engineering problems. Professionals in this field develop and optimize software, perform simulations, and analyze large datasets to support research in disciplines like physics, biology, and engineering. They often work with high-performance computing (HPC) systems and programming languages such as Python, C++, or Fortran. These roles are commonly found in academia, government research labs, and industries like aerospace, pharmaceuticals, and finance.

What job categories do people searching Scientific Computing jobs in Alberta look for? The top searched job categories for Scientific Computing jobs in Alberta are:
Infographic showing various Scientific Computing job openings in Alberta as of June 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $117,582 per year, or $56.5 per hour.

L4 Technical Professional

TELUS

Calgary, AB • On-site

Other

Posted 2 days ago


TELUS rating

8.0

Company rating: 8.0 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

19th of 78 rated telecommunications companies


Job description

Description

Our team and what we'll accomplish together:

Our TELUS Advanced Data and Analytics team is seeking highly experienced and accomplished ML Engineer to join our team. In this position, you will be responsible for leading the development and maintenance of machine learning pipelines, including continuous integration, continuous monitoring and continuous deployment of ML models. You will work closely with a team of data scientists and data engineers to deploy solutions and drive innovation using machine learning and NLP techniques.

The ideal candidate has a deep understanding of data analysis, Cloud engineering, machine learning, NLP techniques, along with a proven track record of delivering impactful insights and solutions.

Responsibilities:

  • Develop and implement machine learning algorithms and models
  • Analyze and interpret large data sets to identify trends and patterns
  • Design and implement scalable and automated pipelines for model training, testing, and deployment
  • Collaborate with data scientists and software engineers to integrate models into production systems
  • Monitor model performance and implement strategies for model retraining and optimization
  • Implement best practices for version control, model tracking, and model governance
  • Ensure the security and compliance of machine learning systems
Qualifications
  • Master's or Ph.D. degree in Computer Science, Statistics, Mathematics, or a related field
  • Proven experience +5 years in developing and implementing machine learning models and algorithms for real-world applications
  • Strong programming skills in Python and experience with popular machine learning libraries such as TensorFlow, PyTorch and scikit-learn
  • Solid understanding of statistical analysis, data mining, predictive modeling and Natural Language Processing techniques
  • Strong experience with data preprocessing, feature engineering, and dimensionality reduction techniques
  • Proficiency in Google cloud platform and distributed computing frameworks, Oracle, SQL and working with relational databases
  • Strong problem-solving skills and the ability to think critically and analytically
  • Excellent communication and presentation skills, with the ability to effectively communicate complex concepts to diverse stakeholders
  • Experience in leading and mentoring a team of data scientists is a plus

Join our team and contribute to the development of cutting-edge machine learning projects that will drive customer retention, segmentation, and sales increase. Apply now and be part of our data-driven journey towards success!